Cloud data and AI consultancy building lakehouse and LLM solutions
DATAECONOMY is a cloud-first data and AI consultancy whose stack pairs lakehouse tooling (Databricks, Snowflake, Apache Iceberg) with a generative AI layer of Amazon Bedrock, LangGraph, LangChain and pgvector. Active projects in multi-agent orchestration, LLM fine-tuning and MLOps show delivery shifting from classic data engineering toward production AI. Senior-heavy, accelerating hiring across data and engineering in India and the US backs that shift.
DATAECONOMY is a privately held data and AI consultancy founded in 2018 and headquartered in Dublin, Ohio. It delivers enterprise work in data and BI platform modernization, data governance, master data management, data mesh and fabric architectures, cloud enablement and digital engineering, supported by its own IP suite. Delivery spans AWS and Azure, with Databricks, Snowflake, Talend and Denodo as core platforms. The firm has 201–500 employees and staffs teams in the United States and India. Project themes point to clients in financial services, including trade lifecycle and reconciliation work.
DATAECONOMY works with Databricks, Snowflake, Apache Iceberg, Talend, Denodo, Python, PostgreSQL and AWS services, plus Amazon Bedrock, LangChain, LangGraph, pgvector and Hugging Face for AI work.
Yes. Hiring is accelerating and concentrated in data and engineering, mostly at senior level, with roles in India and the United States.
Current work includes medallion-layer data ingestion and Databricks ETL/ELT pipelines, multi-agent orchestration, LLM fine-tuning and deployment, MLOps pipelines and model evaluation frameworks.
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DATAECONOMY's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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